Covariance matrix adaptation

In this paper, we introduce a novel simulation-based optimization method, CMAESEP, which couples the Covariance Matrix Adaptation Evolution Strategy Optimization Algorithm and the Epanet hydraulic simulator for optimal designing water distribution networks. The proposed method is applied to the published benchmark water network of Hanoi.

10p vilarry 01-04-2024 2 1   Download

Bài giảng "Tính toán tiến hóa: Bài 5 - Evolution Strategy" được biên soạn với các nội dung chính sau đây: Tổng quan Evolution Strategy; Các loại ES: Simple Gaussian Evolution Strategies, Covariance Matrix Adaptation Evolution Strategies (CMA-ES). Mời các bạn cùng tham khảo bài giảng tại đây!

27p kimphuong1001 11-02-2023 4 3   Download

Metaheuristic search algorithms are used to develop new protocols for optimal intravenous insulin infusion rate recommendations in scenarios involving hospital in-patients with Type 1 Diabetes. Two metaheuristic search algorithms are used, namely, Particle Swarm Optimization and Covariance Matrix Adaption Evolution Strategy.

28p redemption 20-12-2021 14 0   Download

This paper relies on the idea that a proper search operator, which captures mentioned implicit correlations, can improve performance of evolutionary constrained optimization algorithms. To realize this, an Evolution Strategy (ES) along with a simplified Covariance Matrix Adaptation (CMA) based mutation operator is used with a ranking based constraint-handling method. The proposed algorithm is tested on 13 benchmark problems as well as on a real life design problem.

13p vinguyentuongdanh 19-12-2018 6 0   Download